{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IVCURVE分析\n",
    "- 将数据放入data文件夹中\n",
    "- 文件名包含key\n",
    "- X_Axis与Y_Axis分别代表需要作为x轴和y轴的excel列名。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          name Resistance\n",
      "0    IV1-2T3-4       2961\n",
      "1   IV1-2T9-10       2961\n",
      "2  IV1-2T11-12       2961\n",
      "3    IV1-2T7-8       2961\n",
      "4    IV1-2T5-6       2962\n",
      "5    IV1-2T1-2       2961\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#读取所有曲线的电学参数\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas\n",
    "\n",
    "\n",
    "\n",
    "######读取文件并提取曲线#####\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"IV\",X_Axis=\"Voltage\",Y_Axis=\"Current\",absY=False)\n",
    "\n",
    "######绘制图像#####\n",
    "plt.title(\"IV Curve Analysis\")\n",
    "plt.xlabel(\"Voltage(V)\")\n",
    "plt.ylabel(\"Current(A)\")\n",
    "\n",
    "#绘制图像\n",
    "plt.style.use('default')\n",
    "\n",
    "######解析数据#####\n",
    "result = []\n",
    "for curve in testFiles.curves:\n",
    "    row = []\n",
    "    cname = curve.name.split('@')[1].split('.')[0]\n",
    "    row.append(cname)\n",
    "    p,_ = np.polyfit(curve.x,curve.y,1)\n",
    "    res = \"{:.4g}\".format(1/p)\n",
    "    row.append(res)\n",
    "    result.append(row)\n",
    "    plt.plot(curve.x,curve.y,label=cname+':'+res+\"Ω\")\n",
    "result = pandas.DataFrame(result, columns=['name','Resistance'])\n",
    "print(result)\n",
    "import time\n",
    "result.to_excel(f\"./result/Parameter{time.time()}.xlsx\")\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "starEnv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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